We are hosting a Webinar on the 26th of Februaury, 2020 on WhatsApp Chatbots and E-commerce. Register here to know how to reduce support ticket volumes, increase conversion, and maintain a higher CSAT score.
Like we published in our last post, last year Chatbot4u looked dead.
It is with a heavy heart that a year down the line, we can confirm that Chatbot4u is indeed dead.
so, What was Chatbot4u?
Chatbot4u was one of the first platforms to allow businesses and individuals to built bots.
But like many-a-company that was ahead of its time, it looks like the site is no longer available.
Chatbot4u was a product of Ecreation, a creative agency based in the Netherlands. Built in 2005, their platform allowed users to develop chatbots for free.
While the tools were limited, the scope for the platform was endless.
Chatbots could be built, expanded on and externally launched using Chatbot4u’s many integrations.
Chatbot4u also allowed users to rate chatbots build by other members of the community.
Users could rate chatbots using a CSAT style star system. Chatbots that delivered a great user experience, like caricatures of Barrack Obama, Justin Beiber, and Selena Gomes were rated high.
But Chatbot4u was used for much more than funny bots.
By virtue of it being free, various businesses began to build and deploy chatbots. This way, instead of a customer having to scroll through 40+ pages of FAQ’s, they can just ask the bot questions.
Of course, once major Silicon Valley startups started to enter the market, Chatbot4u lost traction. And while they attempted a comeback in 2017 with paid plans, it failed.
Despite its first mover advantage, Chatbot4u was a dated software even in its early days. Built on a fairly simplistic framework, the platform lacked lots of features.
Chatbot4u had no ML capabilities, employed no AI and was basically a text-based IVR system.
What are the alternatives?
Microsoft’s Bot Framework
Microsoft’s Bot Framework has everything you need.
You can use LUIS for natural language understanding, Cortana for voice, and the Bing APIs for search.
It has various samples and templates that help devs build better bots, more quickly.
Rasa Stack is a set of open source machine learning tools. Developers can use these tools to create chatbots and assistants.
Rasa Stack has two major components that are independent of each other; a ‘core’ and ‘NLU’.
Rasa is an independent service i.e. all the data fed or received doesn’t need to run through a third-party API. You can deploy it on-prem or in a private cloud.
Botpress sells itself as the WordPress of Chatbots i.e. an open-source bot building platform.
Botpress is built using a modular blueprint. You can snap pieces off and add new bits on an existing code frame.
It comes with several pre-installed components.
- An NLU Engine
- An administration dashboard
- A visual flow editor
- A chat emulator/debugger
- Support for multiple messaging channels
Ana prides itself on being the World’s First Open-Source ChatBot Framework.
Ana comes with a suite of inbuilt services, like; the Ana Studio, Server, Simulator and SDK.
You can use the studio to create and edit text, buttons and input fields visually.
Formerly known as api.ai, Dialogflow uses Google’s Machine Learning capabilities.
Using dialogflow, you can build actions for more than 400+ million Google Assistant devices.
Dialogflow supports more than 20+ languages including Spanish, French, and Japanese.
You can build agents, intents, entities, events, and analytics using Dialogflow.
Chatscript, much like Slack, started off as a component in a video game and grew into something much larger.
Simply take the following project and put it into some directory on your machine.
git clone https://github.com/ChatScript/ChatScript
Chatscript’s powerful pattern matching is excellent at detecting contextual meaning.
Its built-in WordNet dictionary accounts for ontology and spell-checking. It even comes with an extensive extensible repository of nouns, verbs, adjectives, adverbs for that added kick.
IBM Watson™ Assistant is a cognitive bot that you can customize for your business needs.
You can deploy Watson across multiple channels to bring help to your customers where and when they need it.
You can use graphical tools to create a dialog that simulates a real conversation for your assistant to read from when interacting with your users.
This could be using a chatbot that you publish directly to an existing social media messaging platform, such as Slack or Facebook Messenger.
IBM Watson gives you access to dialog skills, intents, entities, and dialogs to understand and address your customers problems or queries.
The Facebook-owned company builds developer tools for natural language processing to help engineers build speech and text chatbots faster and with less technical experience.
Wit.ai says that more than 180,000 developers use its services.
You can use wit.ai to build bots, mobile apps, home automation, wearable device, and hardware.
Wit.ai learns human language from every interaction and leverages the community: what’s learned is shared across developers.